Nate Lewin Email & Phone Number

Shakopee, Minnesota, United States

Eden Prairie, Minnesota, United States

• Analyzed shipping, quoting, and profit data to drive optimization of transactional pricing• Integrated data from Snowflake and Postgres SQL databases into a containerized instance of Jupyter Notebooks on an Azure ML virtual machine; used statistical packages in Python, including Pandas, Matplotlib, and Plotly, for analysis• Determined effect of customer access to pricing dashboard on purchase volume; observed some instances of positive correlation, though implementation of causal inference modeling showed limited statistical significance • Recommended geographical targeting for improved pricing based on comparisons to industry benchmarks• Provided data visualization of critical metrics over time to determine potential causes of periods of low profitability

• Leveraged numerical simulation tools to design and model air bearings—components that define the fluid dynamic interface between the read/write head and spinning disk on a hard disk drive• Led air bearing design and development for all Perpendicular Magnetic Recording (PMR) products• Ran command line based numerical simulations in UNIX; collated, processed, and analyzed resulting data using tools such as Python, JMP, and Excel to provide feasibility assessments, performance modeling, and failure analysis to product engineers, factory, and drive teams, both on-site and worldwide• Designed and validated a new series of air bearing designs for nearline cloud products to improve performance after impact during operation, yielding a 18% improvement in margin in both modeling and experiments • Coordinated with modeling and tools team to develop and debug internal tools used to simulate micro-fluidic dynamics and thermo-mechanical interfaces involved in air bearing performance

Greater Minneapolis-St. Paul Area

• Designed and demonstrated extrusion-based feed system for a solar gasification reactor in order to eliminate blockage and reduce the excess gas needed to advance feedstock; resulting reactor test improved solar efficiency by 33%• Built finite element simulation in MATLAB, utilizing thermodynamics, chemical kinetics, and conservation equations to predict feedstock composition and ensure system met specifications• Published thesis titled "Design of a Screw Based Feed System for a Molten Salt Solar Gasification Reactor" in the University of Minnesota conservancy

Greater Minneapolis-St. Paul Area

•Built new predictive capabilities to improve R&D efficiency in new product development•Developed empirical correlations to determine heat transfer rates as a function of experimentally measured parameters to accommodate new refrigerants in system modeling software; built excel tool to automate analysis•Created computational fluid dynamics models in ANSYS capable of predicting heat dissipation of electrical components to 93% accuracy, in order to prevent overheating in control panels

New York City

•Worked on-site with clients to improve financial efficiency through strategic sourcing and value engineering•Case work included realignment of an R&D unit in a major telecom infrastructure provider and improved sourcing efficiency at a medical device manufacturer, resulting in 13% reduction of addressable spend in each case•Drove sales activity by running outreach campaigns to potential clients, performing preliminary financial analysis to identify areas of improvement, and preparing presentations for sales meetings

Masters Of Science, Mechanical Engineering

Bachelor Of Engineering (B.E.), Chemical Engineering

B.A., Engineering Sciences

Education record

Graduated with high honors